Sebastian Raschka • 4/25/2022

Creating Confidence Intervals for Machine Learning Classifiers

This technical article explains various methods for creating confidence intervals to evaluate machine learning classifier performance. It covers normal approximation intervals, multiple bootstrapping techniques, and intervals from retraining with different random seeds, providing practical approaches to quantify uncertainty in model accuracy metrics.

0 comments

#Machine Learning #statistics #performance metrics